Skip to content

Open nowPosted 34 days ago

Data Engineer - GCP

Stake17 open roles

Where
Sydney, New South Wales, Australia
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowData Engineer - GCPStake · Sydney, New South Wales, Australia
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Stake's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.2%30 days
This job: posted 34 days ago

The posting

About this role

We’re looking for a Data Engineer to join our Data team in Sydney.

Data powers some of the most important decisions at Stake. From understanding customer behaviour and measuring product impact to improving operational efficiency and uncovering new opportunities, our data platform helps teams move with confidence.

As a Data Engineer, you’ll build the foundations that help Stake scale. You’ll create trusted, accessible and high-quality data systems that empower teams across the business to make better decisions, faster.

Working closely with engineers, product managers, analysts and stakeholders, you’ll solve complex problems, improve critical systems and create leverage for others. You’ll play a key role in shaping the future of our data platform while contributing to products and experiences used by hundreds of thousands of customers.

We work in a hybrid model, spending three days a week in our beautiful, dog-friendly Sydney office.

What success looks like

Within your first year, you’ll have:

  • Built and evolved reliable, scalable data pipelines that become foundational to how Stake operates and makes decisions
  • Increased trust in data across the business by improving quality, observability, governance and documentation
  • Enabled product, operations and commercial teams to move faster through self-service data capabilities and thoughtfully designed datasets
  • Partnered closely with engineers and analysts to define and implement scalable data models that support critical business outcomes
  • Improved the performance, efficiency and maintainability of our data platform as customer and data volumes continue to grow
  • Helped establish best practices for data engineering, modelling, testing and platform reliability
  • Influenced how Stake measures success by creating robust datasets and metrics that inform strategic decision-making
  • Become a trusted technical partner across the business, known for solving complex problems with clarity, pragmatism and impact

You’ll thrive here if…

  • You have strong experience building and maintaining modern data platforms, pipelines and data products in production environments
  • You care deeply about data quality, reliability and creating systems other teams can depend on
  • You’re comfortable working across the data stack, from ingestion and transformation through to modelling and consumption
  • You combine strong technical judgement with a practical mindset, balancing long-term platform health with business needs
  • You communicate clearly, simplify complexity and enjoy partnering with people across technical and non-technical teams
  • You take ownership, move with urgency and enjoy solving problems that have meaningful customer and business impact

Technical skills

  • Experience with modern data technologies on Google Cloud Platform (GCP), including BigQuery, Cloud Storage and Dataflow
  • Strong proficiency in SQL and data manipulation
  • Working knowledge of Python or another programming language
  • Experience with data warehousing and data modelling concepts
  • Understanding of data governance principles and best practices
  • Experience with reporting and visualisation tools, preferably Metabase
  • A desire to stay up to date with developments across GCP and emerging technologies, including AI
  • Working knowledge of Docker and Kubernetes is ideal, but not essential

Bonus if you’ve…

  • Worked in fintech, financial services or another highly regulated industry
  • Built data platforms supporting product analytics, experimentation or customer-facing products
  • Worked with modern cloud data platforms such as BigQuery
  • Contributed to data governance, lineage or observability initiatives at scale
  • Helped establish engineering standards, tooling or platform capabilities for growing teams

Benefits of working at Stake

At Stake, you’ll have the autonomy to make an impact while learning from some of the best people in the industry. You’ll play a meaningful role in building a company with strong momentum, ambitious goals and plenty of opportunities to grow.

Along the way, you’ll also enjoy a range of benefits through our Grow with Stake program, including:

  • Professional development allowance
  • Up to 16 weeks of paid parental leave
  • Childcare allowance
  • Wellbeing support
  • Annual leave swap days
  • Discretionary performance bonus
  • Stake products, including a 30% discount on an annual self-managed super fund (SMSF) membership, a $295 annual trading credit and a Stake Black account

So what happens next?

Once we’ve received your application, we’ll give it the attention it deserves. If we think you could be a great addition to the team, we’ll reach out to arrange an initial conversation and guide you through the recruitment process from there.

To all recruitment agencies: Stake does not accept agency resumes. Please do not forward resumes to our jobs alias or directly to Stake employees. Stake is not responsible for any fees related to unsolicited resumes.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Stake's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on Stake's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    Stake's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.